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» Using Anonymized Data for Classification
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122
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ICCV
2007
IEEE
16 years 4 months ago
Non-metric affinity propagation for unsupervised image categorization
Unsupervised categorization of images or image parts is often needed for image and video summarization or as a preprocessing step in supervised methods for classification, trackin...
Delbert Dueck, Brendan J. Frey
100
Voted
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 2 months ago
Empirical comparisons of various voting methods in bagging
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
Kelvin T. Leung, Douglas Stott Parker Jr.
198
Voted
SIGMOD
2005
ACM
119views Database» more  SIGMOD 2005»
16 years 2 months ago
Update-Pattern-Aware Modeling and Processing of Continuous Queries
A defining characteristic of continuous queries over on-line data streams, possibly bounded by sliding windows, is the potentially infinite and time-evolving nature of their input...
Lukasz Golab, M. Tamer Özsu
187
Voted
ECAI
2008
Springer
15 years 4 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
ALMOB
2006
102views more  ALMOB 2006»
15 years 2 months ago
Mining, compressing and classifying with extensible motifs
Background: Motif patterns of maximal saturation emerged originally in contexts of pattern discovery in biomolecular sequences and have recently proven a valuable notion also in t...
Alberto Apostolico, Matteo Comin, Laxmi Parida